AWS Data Engineer
ABOUT THE ROLE
We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB.
Responsible for supporting SQL Server/Cloud BAU operations. supports production stability and performance monitoring by building operational metrics and dashboards for database performance. Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics.
The role requires hands-on experience in database migration, data modeling, and AWS data services.
Must Have Skills (Screening Required)
- On-Prem SQL server to AWS and snowflake source Data Migration experience
- Experience migration/archiving databases from on-premises environments to AWS
- Experience with AWS Database Migration Service(DMS) or similar tools preferred
- AWS Database Technologies
Strong experience with:
- Amazon RDS
- DynamoDB
- Python for Data Processing
- Experience developing Python scripts for data creation, transformation, and data loads
- Data Pipeline Development
- Experience building AWS-based data pipelines
- Familiarity with services such as:
i. S3, Glue, Lambda
- Data Modeling
- Experience designing logical and physical data models
- Ability to support application teams with schema design
Preferred Skills
1. Experience with AWS Schema Conversion Tool (SCT)and data migration service (DMS)
2. Experience working with large datasets and ETL pipelines
3. Knowledge of data lake architecture
4. Experience with PostgreSQL, SQL Server, Dynamo Db
5. Experience supporting application data environments
Experience Required
- 5+ years in Database Administration, Data Engineering, or similar role
- 3+ years of AWS and Snowflake experience
Responsibilities
- Support migration of on-prem databases to AWS
- Develop Python scripts for data generation and bulk loads
- Build and maintain AWS-based data pipelines
- Design and support data models
- Support application teams using RDS and DynamoDB
- Assist with data validation, migration testing, and performance tuning
Key Skills & Experience
5+ years of experience in On-Premise SQL Server to AWS and Snowflake data migration, including large-scale source data transfers and validation.
5+ years of experience migrating and archiving databases from on-premises environments to AWS cloud platforms.
5+ years of experience using AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS), or similar migration tools, for database modernization and migration projects.
5+ years of experience developing Python scripts for data generation, transformation, automation, and data loading processes.
5+ years of experience building and managing AWS-based data pipelines using Amazon S3, AWS Glue, and AWS Lambda.
5+ years of experience supporting application data environments, working with PostgreSQL, SQL Server, and DynamoDB databases.
5+ years of hands-on experience working with AWS database services, including Amazon S3, Amazon RDS, PostgreSQL, DynamoDB, and Snowflake.
5+ years of experience configuring data management and governance practices on AWS, using services such as AWS Glue, AWS DataZone, AWS Glue Data Catalog, and API Gateway.
5+ years of experience working with version control and CI/CD tools, including GitHub and AWS CodePipeline.
5+ years of experience in Database Administration and Data Engineering, specializing in AWS, Snowflake, and SQL Server environments.
About Us
At Radiant Digital, we provide IT solutions and consulting services to help government agencies and businesses in the USA, Canada, the Middle East, and Southeast Asia. On the federal side, we support agencies like NASA, the Department of State (DOS), the IRS, ACL, ACF,USDA and many others, along with numerous state and local government agencies.
We work with industries like telecom, healthcare, entertainment, oil and gas offering solutions designed to meet their specific needs. We focus on improving systems, making better use of data, and updating applications to keep up with changing markets.
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